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Olmait is working on innovative and challenging projects and building teams in data science, data-related software, and cloud infrastructures for startups worldwide. Among our industries and fields of expertise are healthcare, cybersecurity, e-commerce, and more. With offices in Israel and Georgia, we have one of the most powerful development teams in the region. With us, you’ll find a pleasant work environment and exceptional career development opportunities.
We are excited to announce that we are seeking a **Senior Full-Stack Engineer** for a dynamic team that is the world’s first provider of **need-to-know access controls for Generative AI.** This is a unique opportunity to work at the absolute **bleeding-edge of enterprise AI security**, solving a critical problem: preventing Large Language Models (LLMs) from “oversharing” sensitive, confidential knowledge. The team is on a mission to be the leader in anything related to AI security and has been recognized as an **RSA Launch Pad finalist (2024)** and a **Black Hat Startup winner (2024)**.
This is a high-impact, fast-moving SaaS environment. You will be an integral part of a lean, highly-skilled team, building a scalable, enterprise-grade control plane that enforces discretion. If you are passionate about **AI, security, and taking full ownership of features end-to-end**, and thrive in a rapid development cycle, this is the role for you.
**Your Role**
As a **Senior Full-Stack Engineer**, your main responsibility will be to take features and tasks from conception to production, covering both the backend and frontend elements, and even touching on infrastructure and CI workflows. Your work will directly shape the performance, quality, and scalability of a mission-critical security solution.
**Key Responsibilities**
* **End-to-End Feature Ownership:** Design, implement, and deliver features across the full stack (backend, frontend, database).
* **Backend Development:** Design and build the highly scalable and reliable enterprise-grade control plane, focusing on quality and performance (primarily using **Node.js**).
* **Full-Stack Capability:** Demonstrate the ability to understand and execute the full scope of a technical task, including both server-side and client-side logic.
* **Automation and CI/CD:** Develop and maintain deployment tools and contribute to our CI workflows and pipelines (leveraging **GitHub Actions** and **Pulumi** for Infrastructure as Code).
* **Code Quality:** Write well-crafted, tested, readable, and maintainable code; participate actively in code design and peer reviews.
* **Collaboration:** Work closely with Data Scientists, Product Managers, and other team members to ensure the high-quality and timely delivery of features.
**Requirements**
We are looking for an experienced and highly autonomous engineer. While years are not the only measure, we seek candidates with a proven track record of independence and high-quality execution.
* **Proven experience as a Full-Stack Engineer** with a strong focus on building scalable web applications.
* **Strong expertise (5+ years is ideal, but ability is key) in Node.js** for backend development.
* **Experience with React and TypeScript** to handle the frontend elements of a feature end-to-end.
* Experienced in building scalable, resilient software solutions on modern cloud platforms (e.g., AWS, Azure, GCP) utilizing serverless frameworks.
* **Strong experience with relational databases** (such as PostgreSQL) and modern ORMs like **Drizzle**.
* Solid understanding of **Infrastructure as Code (IaC)** concepts (experience with **Pulumi** is a plus).
* Experience with **CI/CD practices** (ideally using GitHub Actions) and developing deployment tools.
* Ability to work effectively in a **fast-paced, dynamic startup environment** where rapid execution is prioritized.
* An organized, self-driven professional with excellent communication skills and a “can-do” attitude.
**Desirable Qualifications (The “Edge”)**
* Some knowledge of **Python** and practical application (e.g. to use AI model)
* Familiarity with LLM-based applications (LLM APIs, Vector DBs, RAG) and integrating ML/AI models into production.
* Past experience building B2B SaaS products.